title: Relationship between serum uric acid levels and metabolic syndrome in Chinese postmenopausal women.
abstract: OBJECTIVE
  Serum uric acid levels have been reported to be associated with metabolic syndrome (MetS). However, few studies specifically examining the relationship between serum uric acid (SUA) levels and MetS in postmenopausal women have been reported in China. Thus, we conducted this study in order to assess the relationship between SUA levels and MetS in Chinese postmenopausal women.
  
  
  METHODS
  A cross-sectional study of 1022 Chinese postmenopausal women (aged 42-80 years) who participated in annual health check-ups was employed. MetS was defined by National Cholesterol Education Program/Adult Treatment Panel III criteria (NCEP-ATP III). Of all the participants, 385 women were diagnosed with MetS (MetS group) and the others were without MetS (non-MetS group). SUA quartiles were defined as follows: Q1, < 3.9 mg/dl; Q2, 3.9-4.5 mg/dl; Q3, 4.6-5.1 mg/dl; Q4, 5.2-6.0 mg/dl. The association between SUA quartiles and MetS was assessed using binary logistic regression.
  
  
  RESULTS
  The adjusted odds ratio (95% confidence interval) for the presence of metabolic syndrome in the highest SUA quartile vs. the lowest quartile was 3.768 (2.386-5.950) for all women (p < 0.01) after adjusting for age, body mass index, blood urea nitrogen, serum creatinine, total cholesterol, low density lipoprotein cholesterol and C-reactive protein. The presence of MetS significantly increased in the second, third and fourth quartiles of SUA. The prevalence of MetS increased gradually with an increasing serum uric acid quartile (p for trend < 0.001).
  
  
  CONCLUSIONS
  Higher SUA levels are positively and independently associated with the presence of MetS in Chinese postmenopausal women.
authors.affiliation: * Department of Clinical Nutrition.
authors.forename: P J
authors.initials: PJ
authors.lastname: Liu
authors.forename: F
authors.initials: F
authors.lastname: Ma
authors.forename: H P
authors.initials: HP
authors.lastname: Lou
authors.forename: Y N
authors.initials: YN
authors.lastname: Zhu
authors.forename: Y
authors.initials: Y
authors.lastname: Chen
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D044466:Asian People; D015415:Biomarkers / Q000097:blood; D001794:Blood Pressure; D002681:China / Q000453:epidemiology; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003430:Cross-Sectional Studies; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology*; D008875:Middle Aged; D017698:Postmenopause; D015995:Prevalence; D014280:Triglycerides / Q000097:blood; D014527:Uric Acid / Q000097:blood*; D016387:Women's Health
chemical_list: D015415:Biomarkers; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D014280:Triglycerides; D014527:Uric Acid; D002784:Cholesterol